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Krina-Paghadar/README.md

Hi, I'm Krina 👋

🎓 Pre-Final Year B.Tech Computer Science Student at IIT Gandhinagar

I'm currently exploring Artificial Intelligence and Machine Learning while building a strong foundation in Data Structures & Algorithms for software engineering internships.

I enjoy learning by building projects, understanding concepts in depth, and continuously improving my problem-solving skills.

💻 Tech Stack



🚀 Featured Projects

GateGuard

Designed a normalized PostgreSQL database schema, created UML diagrams, and explored indexing and database sharding concepts as part of a team project.

Rent Prediction Pipeline

Built and evaluated a Random Forest based rent prediction model with hyperparameter optimization and deployed it using Streamlit and Docker.

MNIST Mixture Models

Implemented and compared Gaussian, Laplacian, Bernoulli and Student-t mixture models for unsupervised image clustering.

🌱 Currently Learning

  • Data Structures & Algorithms
  • AI/ML

📈 Competitive Programming

  • LeetCode: 180+ problems solved
  • GeeksforGeeks: 130+ problems solved

🏃 Beyond Coding

  • Represented IIT Gandhinagar at Inter IIT Sports Meet 2024
  • Athletics (100m, 200m, 4×100 Relay)

📫 Reach Me

📧 krina.paghadar@iitgn.ac.in

🔗 LinkedIn: https://linkedin.com/in/krina-paghadar

Pinned Loading

  1. GateGaurd-IITGN-Databases-CS432 GateGaurd-IITGN-Databases-CS432 Public

    Forked from Pushkar111/GateGaurd-IITGN-Databases-CS432

    Gate Management System (IIT Gandhinagar): Designed a normalized PostgreSQL database ensuring ACID compliance and referential integrity. Features real-time occupancy monitoring and multi-gate loggin…

    Jupyter Notebook

  2. MNIST-Mixture-Models-Analysis MNIST-Mixture-Models-Analysis Public

    Forked from KushalMehta17/MNIST-Mixture-Models-Analysis

    Jupyter Notebook

  3. bhavya-parmar/STTAI2026-Assignment4 bhavya-parmar/STTAI2026-Assignment4 Public

    BiasedWeights Submission for STTAI A4

    Jupyter Notebook

  4. AI-Research-Growth AI-Research-Growth Public

    Analysis of 40,000+ NeurIPS, ICML and ICLR papers using Python, pandas, PCA and KMeans.

    Jupyter Notebook